Cargando…

Artificial Intelligence in Periodontology: A Scoping Review

Artificial intelligence (AI) is the development of computer systems whereby machines can mimic human actions. This is increasingly used as an assistive tool to help clinicians diagnose and treat diseases. Periodontitis is one of the most common diseases worldwide, causing the destruction and loss of...

Descripción completa

Detalles Bibliográficos
Autores principales: Scott, James, Biancardi, Alberto M., Jones, Oliver, Andrew, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9955396/
https://www.ncbi.nlm.nih.gov/pubmed/36826188
http://dx.doi.org/10.3390/dj11020043
_version_ 1784894334930255872
author Scott, James
Biancardi, Alberto M.
Jones, Oliver
Andrew, David
author_facet Scott, James
Biancardi, Alberto M.
Jones, Oliver
Andrew, David
author_sort Scott, James
collection PubMed
description Artificial intelligence (AI) is the development of computer systems whereby machines can mimic human actions. This is increasingly used as an assistive tool to help clinicians diagnose and treat diseases. Periodontitis is one of the most common diseases worldwide, causing the destruction and loss of the supporting tissues of the teeth. This study aims to assess current literature describing the effect AI has on the diagnosis and epidemiology of this disease. Extensive searches were performed in April 2022, including studies where AI was employed as the independent variable in the assessment, diagnosis, or treatment of patients with periodontitis. A total of 401 articles were identified for abstract screening after duplicates were removed. In total, 293 texts were excluded, leaving 108 for full-text assessment with 50 included for final synthesis. A broad selection of articles was included, with the majority using visual imaging as the input data field, where the mean number of utilised images was 1666 (median 499). There has been a marked increase in the number of studies published in this field over the last decade. However, reporting outcomes remains heterogeneous because of the variety of statistical tests available for analysis. Efforts should be made to standardise methodologies and reporting in order to ensure that meaningful comparisons can be drawn.
format Online
Article
Text
id pubmed-9955396
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-99553962023-02-25 Artificial Intelligence in Periodontology: A Scoping Review Scott, James Biancardi, Alberto M. Jones, Oliver Andrew, David Dent J (Basel) Review Artificial intelligence (AI) is the development of computer systems whereby machines can mimic human actions. This is increasingly used as an assistive tool to help clinicians diagnose and treat diseases. Periodontitis is one of the most common diseases worldwide, causing the destruction and loss of the supporting tissues of the teeth. This study aims to assess current literature describing the effect AI has on the diagnosis and epidemiology of this disease. Extensive searches were performed in April 2022, including studies where AI was employed as the independent variable in the assessment, diagnosis, or treatment of patients with periodontitis. A total of 401 articles were identified for abstract screening after duplicates were removed. In total, 293 texts were excluded, leaving 108 for full-text assessment with 50 included for final synthesis. A broad selection of articles was included, with the majority using visual imaging as the input data field, where the mean number of utilised images was 1666 (median 499). There has been a marked increase in the number of studies published in this field over the last decade. However, reporting outcomes remains heterogeneous because of the variety of statistical tests available for analysis. Efforts should be made to standardise methodologies and reporting in order to ensure that meaningful comparisons can be drawn. MDPI 2023-02-08 /pmc/articles/PMC9955396/ /pubmed/36826188 http://dx.doi.org/10.3390/dj11020043 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Scott, James
Biancardi, Alberto M.
Jones, Oliver
Andrew, David
Artificial Intelligence in Periodontology: A Scoping Review
title Artificial Intelligence in Periodontology: A Scoping Review
title_full Artificial Intelligence in Periodontology: A Scoping Review
title_fullStr Artificial Intelligence in Periodontology: A Scoping Review
title_full_unstemmed Artificial Intelligence in Periodontology: A Scoping Review
title_short Artificial Intelligence in Periodontology: A Scoping Review
title_sort artificial intelligence in periodontology: a scoping review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9955396/
https://www.ncbi.nlm.nih.gov/pubmed/36826188
http://dx.doi.org/10.3390/dj11020043
work_keys_str_mv AT scottjames artificialintelligenceinperiodontologyascopingreview
AT biancardialbertom artificialintelligenceinperiodontologyascopingreview
AT jonesoliver artificialintelligenceinperiodontologyascopingreview
AT andrewdavid artificialintelligenceinperiodontologyascopingreview